We are looking for a Staff Engineer, AI & Engineering who can bridge deep software engineering expertise with practical AI implementation. This role is ideal for a senior technical leader who has built scalable software systems and has experience leveraging AI technologies to solve complex business problems. You will partner closely with Engineering, Product, Data, and Technology leaders to design and deliver modern, resilient, and intelligent solutions.

While experience with AI and machine learning technologies is important, this role is fundamentally an engineering leadership position focused on architecture, platform development, system design, and software delivery excellence. This is a hands-on role requiring strong technical depth, architectural thinking and the ability to influence engineering direction across multiple teams.

What You Will Be Responsible For

You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise. Build & Ship AI Applications (Primary Focus)

Design, develop, and deploy AI-powered applications and workflows

Write production-quality code across:

Backend services and APIs

AI orchestration layers and agents

Enterprise integrations

Rapidly prototype solutions and iterate them into scalable production systems

Own delivery end-to-end: build, test, deploy, monitor, and improve

Design Practical, Scalable AI Systems

Translate use cases into explicit, implementable system designs

Make architecture decisions that balance:

Speed of delivery

Scalability and reliability

Cost and operational efficiency

Define patterns for

API-first integrations

AI orchestration and workflows

Reusable services and components





Ensure systems are simple enough to build quickly, but structured enough to scale

Integrate AI into Real Enterprise Workflows

Embed LLM capabilities into products, internal tools, and business processes

Build and maintain APIs and system integrations

Implement agent workflows and orchestration logic that solve real operational problems

Optimize systems for performance, resilience, and cost efficiency

Partner with Business & Deliver Outcomes

Work directly with stakeholders to understand problems and validate solutions

Translate requirements into working software quickly (days/weeks, not months)

Iterate based on feedback and usage to drive measurable impact

Contribute to Engineering Standards & Reuse

Build and contribute to shared libraries, templates, and services

Establish practical patterns based on real implementations

Help evolve internal platforms through code and working solutions, not just design artifacts

Build Within a Governed AI Environment

Implement secure and reliable AI solutions in practice, including:

Prompt safety and validation

Injection/misuse prevention

Observability and traceability

Align implementations with enterprise security, privacy, and compliance requirements

Technology Workplace Cloud & Platform: Microsoft ecosystem (Azure)

AI Models: Claude and other enterprise-approved LLMs

Architecture Style: API-first, event-driven,



and modular services

Core Focus

AI application engineering

Orchestration and agent workflows

Enterprise integrations

What You Bring Hands-On Engineering Strength (Critical) 8+ years of software engineering experience building and delivering scalable, production-grade applications and platforms.Demonstrated success leading complex technical initiatives from design through deployment and ongoing operations.Strong engineering fundamentals with the ability to influence technical direction across teams and organizations.

System

Design & Architecture Judgment Deep expertise in designing scalable, resilient, and maintainable software architectures.

Experience making trade-offs across:

delivery speed vs scalability simplicity vs flexibility

Can move fluidly between coding and design thinking

AI / GenAI Development 3+ years of hands-on experience building and deploying AI/Generative AI solutions in production environments. Strong understanding of:

Prompt design and evaluation

Agent-based workflows and orchestration

Integrating AI into production systems

Ability to debug, tune, and improve AI behavior in code

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Staff Engineer (AI & Engineering) (Toronto)
🏢 EQ Bank
📍 Toronto